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Caixin: Poker expert Hu Zheweng has suffered three consecutive losses in the cryptocurrency market and has filed a lawsuit against Jump Trading and Chinese professor Zhang Yongfeng

According to Caixin, poker master and seasoned cryptocurrency investor Hu Zheweng made significant bets during the three waves of cryptocurrency frenzy involving ICOs, algorithmic stablecoins, and AI tokens, but faced consecutive failures. Hu Zheweng claimed to have invested in the blockchain project Stratis, achieving a return of "over 1000 times."According to disclosed information, Hu Zheweng invested approximately 80 million USD in algorithmic stablecoin TerraUSD (UST) and its sister token LUNA from May 2021 to May 2022, with the peak market value of his holdings exceeding 800 million USD, but the price of LUNA subsequently nearly dropped to zero.In addition, Hu Zheweng has filed a lawsuit in Chicago, USA against the globally renowned quantitative trading firm Jump Trading and its related companies and executives in the cryptocurrency business, seeking at least 500 million USD in damages. After experiencing Stox and Terra, Hu Zheweng has not left the cryptocurrency market; last January, he bet on a new project by a Chinese computer professor Zhang Yongfeng. Zhang Yongfeng entered the Computer Science Department of Tsinghua University in 2007 and is currently a tenured associate professor in the Computer Science Department at Rutgers University in the USA. He has been sued by Hu Zheweng on multiple charges including "securities fraud." It is reported that the tokens issued by the organization founded by Zhang Yongfeng, in which Hu Zheweng invested millions of dollars, have fallen over 99.6% from their peak in 2025.

hot_img Five Chinese robotics startups are each valued at over 20 billion yuan

According to the industry analysis platform Hello China Tech, as of June 2026, there are a total of 8 humanoid robot-related companies in China with valuations reaching or exceeding 20 billion yuan (approximately 2.9 billion USD), of which 5 companies have valuations primarily based on models rather than shipment volumes, with annual shipment volumes still maintaining at the hundreds level. In the second quarter, the financing amount in the humanoid robot field reached 6.95 billion USD, more than double that of the previous quarter.The report points out that the data collection costs vary significantly across different stages: the hourly wage for frontline operators is about 20 to 40 yuan, approximately 25 yuan when outsourced; the internal cost for companies involving robots is about 250 yuan; and the data price from government-supported training bases reaches 500 to 1000 yuan. However, the data produced through different collection methods (wearable devices and robot involvement) shows significant differences in quality and training effectiveness, with only about 50 hours of usable data from 100 hours of raw collection. The data measurement units used by different companies (hours, trajectories, skills, etc.) are incompatible, and there is a lack of independent auditing, leading to considerable uncertainty in valuation bases. It is believed that the industry urgently needs to establish a unified data asset measurement standard.
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